Our work is inspired from [1]}, [2]}. Sharma et al. in [1]} enhance the visible (RGB) images using near-infrared (NIR) counterparts and show improvement in the image feature quality for biometric verification tasks, further in [2]}, Sharma et al. emulates several image enhancement methods in convolutional neural networks for an accurate image classification. We have a similar goal, though our work differs substantially in technical approach and the application scope. Specifically, we utilize weighted least squares optimization framework (WLS) [5]} to decompose an image to fine and coarse enhanced images, and then combine them in a more meaningful way such that the combined image have better image features for our classification task.
